Analyst - Systematic Equities, Quantitative Engineering at AustralianSuper

Melbourne, Victoria, Australia -

Full Time

Start Date

Immediate

Expiry Date

28 Jun, 26

Salary

0.0

Posted On

30 Mar, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Analysis, Problem-Solving, Python, Software Engineering, Code Optimization, Version Control, Unit Testing, SQL, Relational Databases, Data Management, Communication, Risk Controls, Data Quality Monitoring, Cloud Environments, Quantitative Research, Automation

Industry

Financial Services

Description

At AustralianSuper, we truly care about our colleagues. We know work and life are intertwined. That’s why we support the diverse needs of everyone and have policies that enable us all to thrive and be truly flexible. We ensure diversity is celebrated for the opportunity it provides us all to learn and grow and deliver better outcomes for members. We are dedicated to building a high-performance environment underpinned by a strong risk culture, ensuring we deliver the best outcomes for our members. Your New Role The Systematic Equities team plays a key role in the delivery of International Equities’ strategic agenda and target portfolio structure. The team manages assets across multiple listed equity strategies, delivering outperformance for members and reducing external management costs. The team’s deep expertise in quantitative research and data management complements both Fundamental and Portfolio Construction functions within International Equities. The Analyst assists with all elements of data management and oversight, software engineering and infrastructure management, and is involved in a variety of data and code related projects. They will also provide support to portfolio managers and assist with research and other aspects of the total systematic equities pipeline. Key responsibilities include: * Assisting with creation, execution and oversight of data processes that include ingestion, cleaning, and transformation of financial markets data for use in research and trading; * Developing tools to monitor data quality, identifying potential issues, and mitigating them; * Working with existing and new vendors to ingest new data sets, including large data sets and unstructured and alternative data; * Supporting development and maintenance of quant codebase (written in Python and SQL); * Assisting portfolio managers with data, code and automation of day-to-day activities, and the broader equity department with quantitative projects and queries; * Understanding and implementing strong risk controls on processes, systems and workflows to ensure adherence to all relevant organizational requirements, Policies, Standards and Procedures; * This is a permanent role based in Melbourne. What You’ll Need * Very strong data analysis and problem-solving skills with experience working with large, complex and dirty data sets; * Demonstrated experience programming in Python with a data science focus, good professional knowledge of best practices in software engineering and code optimization e.g. version control, unit testing; * Experience working with relational databases, with good SQL knowledge; * An understanding of data management best practices; * Attention to detail and satisfaction from identifying and resolving data driven problems; * Good communication skills to liaise with internal investment teams, IT teams, and external stakeholders; * Tertiary qualifications in a data and or/software focused discipline such as mathematics, engineering, computational finance, computer science or data science; * Exposure to finance, investing or superannuation, particularly institutional funds management, gained through academic study and/or professional work desirable; * Prior experience working with financial markets data would be advantageous; * Experience working in and administering cloud environments. Life at AustralianSuper AustralianSuper is committed to colleague development, and we support our people with ongoing learning, coaching and training, as well as career opportunities across our expanding global organisation. We offer generous leave entitlements and promote a blended working environment in which all roles can flex, and we’re happy to discuss what this looks like for you. We cultivate a workplace that champions safety, respect, inclusiveness and diversity. We are committed to supporting our diverse workforce in a way that is inclusive and embraces diversity in all its forms. If you require any reasonable adjustments to the recruitment process or the role, please let our recruitment team know. What’s Next Apply now, if you share our values of Energy, Integrity, Generosity of Spirit and Excellent Outcomes and would like the opportunity to work in a challenging, growing and rapidly evolving team to deliver outstanding results. AustralianSuper uses AI to review resumes and conduct initial phone interviews. This involves processing your resume, cover letter, and voice recording in Australia and the USA to help assess your suitability for the applied role. When invited to an AI phone screening, you may opt for a traditional phone screening instead. For information on how we handle your personal data, please refer to our Candidate Privacy Policy. https://www.australiansuper.com/careers/candidate-privacy-notice [https://www.australiansuper.com/careers/candidate-privacy-notice] Australian or New Zealand citizenship or Australian permanent residency status is required. Agencies please note: this vacancy is being managed directly by AustralianSuper’s Talent Acquisition team. We will contact our preferred agency partners should we require additional support. Thank you.

Responsibilities

The Analyst will assist with data management, software engineering, and infrastructure management, supporting the Systematic Equities team's quantitative research and trading pipelines. Key tasks involve creating and overseeing data processes, developing data quality monitoring tools, and supporting the maintenance of the quantitative codebase.